Triple
T438773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Blanc |
E10068
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Melvin Jerome Blanc |
E10068
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Melvin Jerome Blanc | Statement: [Mel Blanc, fullName, Melvin Jerome Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melvin Jerome Blanc Context triple: [Mel Blanc, fullName, Melvin Jerome Blanc]
-
A.
Marvin Jacobs
Marvin Jacobs was an entrepreneur best known as a founder of the global hospitality and food service company Delaware North.
-
B.
Mel Blanc
chosen
Mel Blanc was a legendary American voice actor best known for bringing to life numerous iconic Looney Tunes characters, including Bugs Bunny, Daffy Duck, and Porky Pig.
-
C.
Clifton Daniel
Clifton Daniel was an American newspaper editor and managing editor of The New York Times, known also as the son-in-law of U.S. President Harry S. Truman.
-
D.
Don Brochu
Don Brochu is a film editor best known for his work on major Hollywood movies, including the hit thriller "The Bodyguard."
-
E.
Norman Lloyd
Norman Lloyd was an American actor, producer, and director whose career in film, television, and theater spanned more than eight decades.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef283be881909444aaf257451747 |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44f522acc81909d16527bd08e458d |
completed | March 1, 2026, 2:38 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.